Arabic Newspaper Page Segmentation

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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	Karim Hadjar, Rolf Ingold, "Arabic Newspaper Page Segmentation," Document Analysis and Recognition, International Conference on, vol. 2, pp. 895, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227789, author = {Karim Hadjar and Rolf Ingold}, title = {Arabic Newspaper Page Segmentation}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2003}, isbn = {0-7695-1960-1}, pages = {895}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227789}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Arabic Newspaper Page Segmentation SN - 0-7695-1960-1 SP EP A1 - Karim Hadjar, A1 - Rolf Ingold, PY - 2003 KW - null VL - 2 JA - Document Analysis and Recognition, International Conference on ER -

Karim Hadjar, University of Fribourg

Rolf Ingold, University of Fribourg

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227789

The aim of layout analysis is to extract the geometric structure from a document image. It consists of labeling homogenous regions of a document image. This paper describes the performance of segmentation algorithms and their adaptation in order to treat complex structured Arabic documents such as newspapers. Experimental tests have been carried out on four different phases of newspaper image analysis: thread recognition, frame recognition, image text separation, text line recognition, and line merging into blocks. Some promising experimental results are reported.

Citation:

Karim Hadjar, Rolf Ingold, "Arabic Newspaper Page Segmentation," icdar, vol. 2, pp.895, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003

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